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The Guru alternative built to capture what never got written down.

Guru is a solid layer for verifying and delivering the knowledge your team already documents — cards reviewed on a cycle, pushed into Slack and Teams. SphereIQ picks up where that stops — capturing the tacit knowledge that was never written down, reconciling it against live systems, and governing agents that act on it.

Guru
Verifies and delivers documented knowledge.
SphereIQ
Captures, reconciles, answers, and acts.
21
Years of engineering
300+
Enterprise clients
NPS 75
Customer satisfaction
What the comparison is really about: a run that stops and says what approving will do, before anyone approves it. A demo workspace on synthetic data.

Where Guru is genuinely strong — and where the line falls.

No exaggeration: Guru is good at what it’s built for. Here’s exactly where SphereIQ picks up.

Guru

What a knowledge-management layer is built for

✓Verifies existing cards on a review cycle, flags what’s stale
✓Delivers answers directly inside Slack, Teams, and the browser
–Only as good as what someone already wrote down
–No live model of operations — no Twin, no agents that act

SphereIQ

What picks up from there

✓Captures tacit knowledge that was never documented in the first place
✓Answers cited to the exact document, page, and span
✓Signed, immutable audit trail of every action
✓A living Enterprise Twin reconciled against systems, processes, people
✓Governed agents that act, not just answer

What happens after documentation stops being enough.

The same pattern, wherever expertise meets document volume — proven in production, not a pilot.

6 hrs → sec
Time to resolve a document question
A professional-services firm
60×
Faster resolution across 35,000+ documents
A global aviation operator
$1.2M/yr
Saved from AI-run back-office workflows
An energy services firm
GxP ✓
Validated for regulated environments
A life-sciences services firm
21 yrs
Enterprise engineering
300+
Clients in 28 countries
NPS 75
Customer satisfaction
AWS · Anthropic
Premier / Partner status

Six hours of expert time, returned.

A professional-services firm · in production today

Before

Knowledge in documents and in people’s heads

–Routine document questions took six hours of skilled professional time
–Finding, reading, extracting, verifying — by hand
–Multiplied across every engagement, every season

After

SphereIQ document intelligence

✓Parsing, table extraction, and cited retrieval over the firm’s document classes
✓Six hours down to seven minutes
✓The experts went back to the work clients actually pay for

The layer a knowledge base was never built to have.

A knowledge base tells you what someone already wrote down. It can’t tell you how Sales, Finance, Legal, and Engineering actually depend on each other right now — that requires a live model of your operations, not a library of verified cards. That’s the Enterprise Twin.

See it against your own material

Bring a process and a few documents. We run the nearest template on them, and you keep the run record.

See the difference on a call

20 minutes, against your own systems — not a slide deck.

Before you book

We already have Guru — why would we add SphereIQ?
You may not need to replace it. Guru is a solid layer for verifying and delivering the knowledge your team already writes down — cards that get reviewed on a cycle and pushed into Slack or Teams. Where the line falls is knowledge that was never written down at all, and structure across systems Guru doesn't reach into. SphereIQ captures the tacit, undocumented layer and reconciles it against your live operations; many teams run both.
How is SphereIQ different from Microsoft Copilot?
Vendor copilots are excellent inside their own ecosystem, and if your work lives entirely in one suite, they're hard to beat there. But an enterprise runs on hundreds of systems, and governance, audit, and cross-system context are the hard part. SphereIQ is vendor-neutral by design — it connects to everything and governs it uniformly.
What does a deployment look like?
Most engagements start with a fixed-scope, one-week AI Spend Diagnostic or a 4–6 week Enterprise Twin Scan — both designed to show real findings before committing to a full platform rollout.
Can it run in regulated environments?
Yes — SphereIQ Private supports customer-controlled cloud and keys, with GxP and 21 CFR Part 11 validation support for regulated, data-residency-sensitive deployments.
Is SphereIQ SOC 2 certified?
Yes — SphereIQ is SOC 2 Type II certified. On top of that, every AI request is policy-checked, PII-masked, and written to a signed audit ledger. See the security page.

See what happens after documentation stops being enough.

A 20-minute conversation, against your own systems — not a slide deck.